Török B, Nagy DG, Kiss M, Janacsek K*, Németh D*, Orbán G* (2022)
Tracking the contribution of inductive bias to individualised internal models
PLoS Computational Biology,  18(6): e1010182
*equal contributions

Ferenc Csikor, Balázs Meszéna, Bence Szabó, Gergő Orbán (2022)
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder
arXiv, doi.org/10.48550/arXiv.2206.00436

Flesch, T., Nagy, D. G., Saxe, A., & Summerfield, C. (2022)
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals

Balázs B Ujfalussy, Gergő Orbán (2021)
Sampling motion trajectories during hippocampal theta sequences
biorxiv, doi.org/10.1101/2021.12.14.472575

Márton Albert Hajnal, Duy Tran, Michael Einstein, Mauricio Vallejo Martelo, Karen Safaryan, Pierre-Olivier Polack, Peyman Golshani, Gergő Orbán (2021)
Continuous multiplexed population representations of task context in the mouse primary visual cortex
biorxiv, doi.org/10.1101/2021.04.20.440666

Nagy D, Török B, Orbán G (2020)
Optimal forgetting: Semantic compression of episodic memories
PLoS Computational Biology,  16(10): e1008367.
earlier bioRxiv version

Bányai M, Orbán G (2019)
Noise correlations and perceptual inference
Current Opinion in Neurobiology, 58: 209-217.

Gáspár ME, Polack P-O, Golshani P, Lengyel M, Orbán G (2019)
Representational untangling by the firing rate nonlinearity in V1 simple cells
eLife, 8:e43625 doi: 10.7554/eLife.43625

Bányai M, Lazar A, Klein L, Klon-Lipok J, Stippinger M, Singer W, Orbán G (2019)
Stimulus complexity shapes response correlations in primary visual cortex
Proc Natl Acad Sci USA, 10.1073/pnas.1816766116.
Earlier version on BioRxiv, doi: 10.1101/238774.

David G. Nagy, Balázs Török, Gergő Orbán (2018)
Semantic Compression of Episodic Memories
Proceedings of the 40th Conference of the Cognitive Science Society, 2138-2143.
arXiv preprint: arXiv:1806.07990

Bányai M, Koman Z, Orbán G (2017)
Population activity statistics dissect subthreshold and spiking variability in V1
Journal of Neurophysiology, 118:29-46, doi:10.1152/jn.00931.2016.

Török B*, Janacsek K*, Nagy DG*, Orbán G#, Németh D# (2017)
Measuring and filtering reactive inhibition is essential for assessing serial decision-making and learning
Journal of Experimental Psychology, General, 146:529–542.
*,#: equal contributions

Orbán G, Berkes P, Fiser J, Lengyel M (2016)
Neural variability and sampling-based 
probabilistic representations in the visual cortex.
Neuron, 92:530–543.
Preview from Xaq Pitkow: Probability by Time
For further media coverage please check the  page of the project.

Houlsby NMT, Huszár F, Ghassemi MM, Orbán G, Wolpert DM, Lengyel M (2013)
Cognitive tomography reveals complex task-independent mental representations.
Current Biololgy, 10.1016/j.cub.2013.09.012.

Orbán G, Wolpert DM (2011)
Representations of uncertainty in sensorimotor control.
Current Opinion in Neurobiology, 21: 629-635.

Berkes P, Orbán G, Lengyel M, Fiser J (2011)
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment.
Science, 331: 83-87.

Fiser J, Berkes P, Orbán G, Lengyel M. (2010)
Statistically optimal perception and learning: from behavior to neural representations.
Trends in Cognitive Sciences, 14: 119-30.

Orbán G, Fiser J, Aslin RN, Lengyel M. (2008)
Bayesian learning of visual chunks by human observers.
Proceedings of the National Academy of Sciences USA, 105: 2745-50.